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eess.SY2026
Sample-Free Safety Assessment of Neural Network Controllers via Taylor Methods
Adam Evans, Roberto Armellin
In recent years, artificial neural networks have been increasingly studied as feedback controllers for guidance problems. While effective in complex scenarios, they lack the verifi…
eess.SY2025
Learning-Based Stable Optimal Guidance for Spacecraft Close-Proximity Operations
Kun Wang, Roberto Armellin, Adam Evans +2
Machine learning techniques have demonstrated their effectiveness in achieving autonomy and optimality for nonlinear and high-dimensional dynamical systems. However, traditional bl…